| mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation C Fraley, AE Raftery, TB Murphy, L Scrucca https://www.stat.washington.edu/research/reports/2012/tr597.pdf, 2012 | 1018 | 2012 |
| mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models L Scrucca, M Fop, TB Murphy, AE Raftery The R Journal 8 (1), 289-317, 2016 | 989 | 2016 |
| Parsimonious Gaussian mixture models PD Mcnicholas, TB Murphy Statistics and Computing 18 (3), 285-296, 2008 | 266 | 2008 |
| Model-based clustering of microarray expression data via latent Gaussian mixture models PD McNicholas, TB Murphy Bioinformatics 26 (21), 2705, 2010 | 193 | 2010 |
| Novel glycan biomarkers for the detection of lung cancer JN Arnold, R Saldova, MC Galligan, TB Murphy, Y Mimura-Kimura, ... Journal of Proteome Research, 2011 | 178 | 2011 |
| Mixtures of distance-based models for ranking data TB Murphy, D Martin Computational statistics & data analysis 41 (3), 645-655, 2003 | 156 | 2003 |
| Desulfovibrio bacterial species are increased in ulcerative colitis F Rowan, NG Docherty, M Murphy, B Murphy, JC Coffey, PR O‘Connell Diseases of the Colon & Rectum 53 (11), 1530, 2010 | 154 | 2010 |
| Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models PD McNicholas, TB Murphy, AF McDaid, D Frost Computational Statistics & Data Analysis 54 (3), 711-723, 2010 | 136 | 2010 |
| The effect of the GENTLE/s robot-mediated therapy system on arm function after stroke S Coote, B Murphy, W Harwin, E Stokes Clinical rehabilitation 22 (5), 395-405, 2008 | 132 | 2008 |
| Family-Mediated Exercise Intervention (FAME) R Galvin, T Cusack, E O'Grady, TB Murphy, E Stokes Stroke 42 (3), 681-686, 2011 | 116 | 2011 |
| A mixture of experts model for rank data with applications in election studies IC Gormley, TB Murphy The Annals of Applied Statistics 2 (4), 1452-1477, 2008 | 115 | 2008 |
| Using unlabelled data to update classification rules with applications in food authenticity studies N Dean, TB Murphy, G Downey Journal of the Royal Statistical Society: Series C (Applied Statistics) 55 …, 2006 | 111 | 2006 |
| Model‐based clustering of longitudinal data PD McNicholas, TB Murphy Canadian Journal of Statistics 38 (1), 153-168, 2010 | 107 | 2010 |
| Review of statistical network analysis: models, algorithms, and software M Salter-Townshend, A White, I Gollini, TB Murphy Statistical Analysis and Data Mining 5 (4), 243-264, 2012 | 105 | 2012 |
| Exploring Voting Blocs Within the Irish Electorate IC Gormley, TB Murphy Journal of the American Statistical Association 103 (483), 1014-1027, 2008 | 101 | 2008 |
| The Impact of Increased Duration of Exercise Therapy on Functional Recovery Following Stroke—What Is the Evidence? R Galvin, B Murphy, T Cusack, E Stokes Topics in Stroke Rehabilitation 15 (4), 365-377, 2008 | 89 | 2008 |
| Standardising the lift of an association rule PD McNicholas, TB Murphy, M O'Regan Computational Statistics & Data Analysis 52 (10), 4712-4721, 2008 | 77 | 2008 |
| Analysis of Irish third‐level college applications data IC Gormley, TB Murphy Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2006 | 75 | 2006 |
| Variational Bayesian inference for the latent position cluster model for network data M Salter-Townshend, TB Murphy Computational Statistics & Data Analysis 57 (1), 661-671, 2013 | 74 | 2013 |
| The effect of GENTLE/s robot mediated therapy on upper extremity function post stroke S Coote, EK Stokes, BT Murphy, W Harwin Proceedings International Conference on Rehabilitation Robotics (ICORR 2003 …, 2003 | 72 | 2003 |
Adrian E. RafteryProfessor of Statistics and Sociology, University of WashingtonVerified email at uw.edu
